Role: Senior Product Manager ( Intial 6months chandigarh then remote)

About the Role

We are looking for a Senior Product Manager to own the fraud & risk Platform a critical, cross-cutting domain that spans AI-native security, fraud & risk, identity, compliance, PCI/cyber posture, data governance, and model governance. You will join a fast-moving fintech payments company and hit the ground running: learning the system with limited documentation, identifying gaps, and translating ambiguity into structured plans that engineering can execute. This is an end-to-end ownership role from strategy and discovery through PRD authorship, user stories, and delivery with a particular focus on Application Security and Fraud & Risk initiatives.

What You Will Own

Application Security

- Define and drive the product roadmap for AppSec capabilities threat modeling, API security, secrets management, and vulnerability lifecycle management.
- Partner with Security Engineering to translate security findings into prioritized, sprint-ready epics and user stories.
- Own PCI-DSS, SOC 2, and cyber posture initiatives end-to-end: gap analysis remediation roadmap audit readiness.
- Lead discovery for AI-native security tooling (AI-assisted threat detection, LLM security guardrails, model attack surface mapping).

Fraud & Risk
- Own the full product lifecycle for fraud detection, transaction risk scoring, chargeback management, and identity verification.
- Define rules-engine and ML model requirements; work closely with Data Science to operationalize fraud signals.
- Drive discovery sessions with Operations, Compliance, and Customer teams; synthesize findings into PRDs with clear success metrics.
- Manage end-to-end delivery: business sign-off engineering engagement QA launch post-launch monitoring.

Data & Model Governance
- Establish product requirements for data lineage, retention policies, and access controls across the Trust Platform.
- Define model governance frameworks: model cards,



drift monitoring, explainability, and bias detection for risk/fraud models.
- Coordinate with Legal, Privacy, and Compliance stakeholders to ensure regulatory alignment (CCPA, GDPR, FinCEN, OFAC).

Day-to-Day Responsibilities
- Immerse yourself in the existing system with limited documentation map what exists,identify gaps, and produce clear documentation and plans.
- Write crisp PRDs, epics, and user stories that engineering teams can act on without ambiguity.
- Lead discovery: stakeholder interviews, competitive analysis, and data analysis to validate hypotheses before committing to build.
- Run sprint planning, backlog grooming, and cross-functional stand-ups for Trust Platform workstreams.
- Prepare and present business cases, roadmap updates, and delivery status to senior leadership for sign-off.
- Evaluate and recommend third-party tools and vendors across the Trust Platform stack

(fraud, identity, security scanning, GRC).
- Maintain working knowledge of the regulatory and compliance landscape relevant to fintech payments.

Required Experience & Qualifications Must-Haves

- 8+ years of product management experience, with at least 5 years in a fintech or payments processing company.
- Hands-on experience owning Application Security or Fraud & Risk product areas end-to-end (strategy through GA delivery).
- Proven ability to learn complex, underdocumented systems quickly and produce transparent documentation.
- Deep comfort writing PRDs and user stories that technical teams can execute; robust understanding of Agile/Scrum.




- Track record of engaging engineering teams effectively post business sign-off facilitating technical discussions, unblocking impediments, and driving to launch.
- Familiarity with PCI-DSS compliance requirements and how they translate into product/engineering work.
- Experience evaluating and selecting security, fraud, identity, and GRC tooling.

Technical Knowledge

- Fraud & Risk: fraud scoring platforms (Sift, Kount, Stripe Radar, Sardine), rules engines,chargeback workflows
- Identity: identity verification platforms (Persona, Socure, Jumio), SSO, MFA, FIDO2.
- Data & Model Governance: data catalog tools (Alation, Collibra), ML monitoring (Arize, Evidently AI, WhyLabs), model risk management frameworks.
- Compliance & GRC: CCPA, GDPR, SOC 2, NIST frameworks; GRC platforms (Vanta, Drata, Secureframe).
- AI/ML literacy: understanding of LLM security risks, prompt injection, model drift, and responsible AI principles.

Nice to Have

- Experience in card-present or card-not-present payment processing environments.
- Prior work at a payment network, acquirer, issuer, or payment facilitator.
- CISM, CRISC, CIPP, or similar certification.
- Familiarity with AI-native security tooling (Prompt Security, LakeraGuard, Protect AI).

Who You Are

- Self-starter who thrives in ambiguity you don't wait for perfect information before making progress.
- Hands-on doer: you write the PRD, run the meeting, build the deck, and follow up until it ships.
- Intellectually curious genuinely excited to learn a complex payments system and turn that knowledge into product impact.
- Strong communicator who can translate deep technical security and fraud concepts into business value for executives.
- Methodical gap-finder: you create structure where there is none and document as you go.
- Collaborative partner to Engineering you understand that great products are built together, not thrown over the wall.

📌 Senior Product Manager Fraud& Risk (Chandigarh)
🏢 Empover
📍 Chandigarh